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Baylor Scott & White Health · 2 days ago
Director Strategic Advanced Analytics - AI/ML
Dallas, TX
Full-time
Hybrid
Director
9+ years exp
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Responsibilities
Provide strategic leadership to advance the organization’s analytics maturity by demonstrating new capabilities enabled by Artificial Intelligence/Machine Learning
Evolve the CoE model to scale AI/ML capabilities across BSWH
Work collaboratively with executive leaders in different domains of data to define, measure, develop, and deliver impactful analytics products and solutions that drive actionable insights and measurable business value
Lead team to deliver improved health system outcomes (improved customer experience, satisfaction, loyalty, retention, quality, safety, and limit non-beneficial clinical variation, etc.) by leveraging advanced data science and engineering approaches
Lead team to design machine learning systems using programming skills, which involves assessing and organizing large datasets, training models and executing tests/experiments to automate model optimization
Collaborate closely with business and IT stakeholders to thoroughly understand current business functional processes and requirements
Lead team to determine the appropriate analytical technique and create model(s)to generate the insight required as defined by the requirements of the use case, in some cases
Ensure team is focused on ability to Iterate and improve the predictability and explain-ability of complex AI/ML models
Lead team to design methods and frameworks that ensure data science tools and techniques used are consistent across teams, scalable, and efficient
Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML
Collaboratively work with data platform team in designing and building cloud-based infrastructure to facilitate analytics and experimentation
Lead team to build and maintain a robust library of data science solutions, reusable templates, models, algorithms, neural networks, and supporting code
Working in a consultative manner, manage multiple executive stakeholder relationships effectively, curating use cases and data features
Partner inside and outside the organization for success
Lead and develop more junior data scientists, providing mentorship, coaching, and guidance for professional development
Perform other position-appropriate duties as required in a competent, professional, and courteous manner
Qualification
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Required
Master’s degree in a quantitative field like data science, computer science, engineering, statistics, mathematics, economics, or related field or significant, demonstrated experience in the role.
Experience leading and growing leveraged teams of data scientists in managing multiple concurrent, complex, and scaled data science projects
9+ years of hands-on data scientist mathematical predictive modeling experience in a business environment or equivalent
Proficiency in common language / tools for AI/ML – (e.g. Python/Pyspark, Keras, Tensorflow libraries, etc.)
Experience working in a cloud environment such as Azure, and their ML services and tooling
Solid interpersonal skills, such as great communication and collaboration, due to the high-level interaction with other analytics and intelligence teams, as well as cross functional teams
Experience investigating and implementing cutting edge data science methodologies, technologies, and platforms in a large-scale and complex organizations
Familiarity with developing complex algorithms associated with advanced analytic topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, and Natural Language Processing
Demonstrated and comprehensive knowledge and understanding of software engineering topics, including classes, functions, version control, CI/CD, and unit tests
Technical expertise with multiple cloud compute environments – e.g. Azure, GCP, etc.
Experience working in EDW cloud technologies – e.g. Snowflake, DataBricks, etc.
Experience in consumer/marketing and / or healthcare (clinical or payor / ACO)
Preferred
PhD in above mentioned technical field
Advanced knowledge of statistical and machine learning techniques (deep learning, boosted trees, reinforcement learning, etc.)
Intellectual curiosity along with excellent problem-solving and quantitative skills including the ability to disaggregate issues, identify root causes, and recommend solutions
Strong interpersonal and communication skills in addition to technical skillset. Ability to build strong relationships, work within and lead teams, and translate technical concepts simply for non-technical stakeholders
NLP, Text, speech, streaming data
Experimental design and A/B testing
Forecasting, time-series, prediction, recommendation…
Data cleansing, feature creation, feature selection, value imputation
Prescriptive modeling, simulation, optimization
Deployment of predictions/recommendation models
Workflow skills/tools (agile, code control, etc.)
EDUCATION - Bachelor's
EXPERIENCE - 5 Years of Experience
Benefits
Immediate eligibility for health and welfare benefits
401(k) savings plan with dollar-for-dollar match up to 5%
Tuition Reimbursement
PTO accrual beginning Day 1
Company
Baylor Scott & White Health
Baylor Scott & White Health is a non-profit health care system that research about the outpatient, and emergency treatment services.
10,001+ employees
H1B Sponsorship
Baylor Scott & White Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2)
2022 (4)
2021 (6)
2020 (6)
Funding
Current Stage
Late StageLeadership Team
J
Jennifer Mitzner
Chief Financial Officer & Executive Vice President
Dennis Raymer
Asssociate Vice President
Recent News
Modern Healthcare
2022-01-07
Company data provided by crunchbase
